Artificial Intelligence (AI) has made significant progress in recent years, but it still faces certain limitations and challenges. Understanding these limitations is crucial to address them and push the boundaries of AI technologies. Some of the major limitations include: Lack of Common Sense Understanding: Current AI models lack the ability to truly understand and comprehend the world in the way humans do. While AI can process vast amounts of data and provide accurate predictions for specific tasks, it lacks the common sense knowledge needed for more general understanding. Sensitivity to Training Data: AI models heavily rely on training data to learn patterns and make predictions. However, biases present in training data can lead to biased results. For example, if an AI model is trained on data with racial or gender biases, it may inadvertently perpetuate these biases in its predictions. Vulnerability to Adversarial Attacks: AI systems can be tricked or manipulated by malicious actors through adversarial attacks. By making small, intentional modifications to input data,
